Vered Schechner

52 papers receiving 1.6k citations

Peers

Vered Schechner
Comparison fields: 5 of 97
  • Molecular Medicine 767
  • Applied Microbiology and Biotechnology 257
  • Endocrinology 210
  • Clinical Biochemistry 204
  • Infectious Diseases 399
Replace Gill Smollan with:
Gill Smollan Israel
Elif Aktaş Türkiye
Isabel Machuca Spain
Melanie R. Baxter Canada
Elisabetta Mantengoli Italy
Angela Gomez‐Simmonds United States
Mark E. Jones United States
Nuria Tormo Spain
Tiziana D’Inzeo Italy
Kim Nichol Canada
Vered Schechner relative to Gill Smollan Israel Gill Smollan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vered Schechner

Since Specialization
Citations

This map shows the geographic impact of Vered Schechner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vered Schechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vered Schechner more than expected).

Fields of papers citing papers by Vered Schechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vered Schechner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vered Schechner. The network helps show where Vered Schechner may publish in the future.

Co-authors

The 25 scholars most cited alongside Vered Schechner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vered Schechner Line = papers co-authored together Vered Schechner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017268
2 2013158
3 2012150
4 2010125
5 2010123
6 2009119
7 200966
8 201064
9 201162
10 201854
11 200344
12 201141
13 201633
14 202127
15 200423
16 202222
17 200420
18 202018
19
Predictors of pandemic (H1N1) 2009 virus positivity and adverse outcomes among hospitalized patients with a compatible syndrome.
201016
20 202015

About Vered Schechner

Vered Schechner is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Epidemiology and Infectious Diseases, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Antibiotic Use and Resistance (10 papers), Blood properties and coagulation (5 papers), Urinary Tract Infections Management (4 papers), Vibrio bacteria research studies (4 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Molecular Medicine (767 citations), Applied Microbiology and Biotechnology (257 citations), Endocrinology (210 citations), Clinical Biochemistry (204 citations) and Infectious Diseases (399 citations). Vered Schechner has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Yehuda Carmeli, Mitchell J. Schwaber, Shiri Navon‐Venezia, David Asa Schwartz, Elizabeth Temkin, Inna Chmelnitsky, Stéphan Harbarth, Meital Kazma, Amos Adler and Tali Kotlovsky. Their work appears in journals such as Infection Control and Hospital Epidemiology, Antimicrobial Resistance and Infection Control, Journal of Hospital Infection, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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